{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/jermwatt/machine_learning_refined/blob/main/notes/7_Linear_multiclass_classification/7_8_Minibatch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "quTiX3LUcxCd"
   },
   "source": [
    "## Chapter 7 Linear multiclass classification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook contains interactive content from an early draft of the university textbook <a href=\"https://github.com/neonwatty/machine-learning-refined/tree/main\">\n",
    "Machine Learning Refined (2nd edition) </a>.\n",
    "\n",
    "The final draft significantly expands on this content and is available for <a href=\"https://github.com/neonwatty/machine-learning-refined/tree/main/chapter_pdfs\"> download as a PDF here</a>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rn71c63EcxCf"
   },
   "source": [
    "# 7.8 Stochastic and mini-batch learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s08ZB-G_cxCf"
   },
   "source": [
    "As described in [Section 3.11](https://jermwatt.github.io/machine_learning_refined/notes/3_First_order_methods/3_11_Minibatch.html), stochastic and mini-batch learning can drastically accelerate (particularly first order) local optimization algorithms.  Having completed our description of *linear* supervised learning techniques - that is regression, two-class, and multi-class classification - in this Section we look back and provide a new *online learning* perspective of the stochastic / mini-batch learning approaches."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "ln2jIfwUcxCg"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: github-clone in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (1.2.0)\n",
      "Requirement already satisfied: requests>=2.20.0 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from github-clone) (2.32.3)\n",
      "Requirement already satisfied: docopt>=0.6.2 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from github-clone) (0.6.2)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from requests>=2.20.0->github-clone) (3.4.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from requests>=2.20.0->github-clone) (3.10)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from requests>=2.20.0->github-clone) (2.2.3)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /Users/jeremywatt/Desktop/machine-learning-refined/venv/lib/python3.10/site-packages (from requests>=2.20.0->github-clone) (2024.12.14)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.3.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "chapter_7_library already cloned!\n",
      "chapter_7_datasets already cloned!\n",
      "chapter_7_images already cloned!\n"
     ]
    }
   ],
   "source": [
    "# install github clone - allows for easy cloning of subdirectories\n",
    "!pip install github-clone\n",
    "from pathlib import Path \n",
    "\n",
    "# clone datasets\n",
    "if not Path('chapter_7_library').is_dir():\n",
    "    !ghclone https://github.com/neonwatty/machine-learning-refined-notes-assets/tree/main/notes/7_Linear_multiclass_classification/chapter_7_library\n",
    "else:\n",
    "    print('chapter_7_library already cloned!')\n",
    "\n",
    "# clone library subdirectory\n",
    "if not Path('chapter_7_datasets').is_dir():\n",
    "    !ghclone https://github.com/neonwatty/machine-learning-refined-notes-assets/tree/main/notes/7_Linear_multiclass_classification/chapter_7_datasets\n",
    "else:\n",
    "    print('chapter_7_datasets already cloned!')\n",
    "\n",
    "# clone datasets\n",
    "if not Path('chapter_7_images').is_dir():\n",
    "    !ghclone https://github.com/neonwatty/machine-learning-refined-notes-assets/tree/main/notes/7_Linear_multiclass_classification/chapter_7_images\n",
    "else:\n",
    "    print('chapter_7_images already cloned!')\n",
    "\n",
    "# append path for local library, data, and image import\n",
    "import sys\n",
    "sys.path.append('./chapter_7_library') \n",
    "\n",
    "# import section helper\n",
    "import section_7_8_helpers\n",
    "\n",
    "# dataset paths\n",
    "dataset_path_1 = \"chapter_7_datasets/MNIST_subset.pickle\"\n",
    "\n",
    "# image paths\n",
    "image_path_1 = \"chapter_7_images/ml_stochastic.png\"\n",
    "image_path_2 = \"chapter_7_images/MNIST_examples.png\"\n",
    "\n",
    "# standard imports\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import Image\n",
    "\n",
    "# import autograd-wrapped numpy\n",
    "import autograd.numpy as np\n",
    "\n",
    "# this is needed to compensate for matplotlib notebook's tendancy to blow up images when plotted inline\n",
    "%matplotlib inline\n",
    "from matplotlib import rcParams\n",
    "rcParams['figure.autolayout'] = True\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sFpL0JvNcxCh"
   },
   "source": [
    "## 7.7.1 The stochastic gradient descent"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WwGbBRL2cxCh"
   },
   "source": [
    "In [Section 3.11](https://jermwatt.github.io/machine_learning_refined/notes/3_First_order_methods/3_11_Minibatch.html) we discussed the concept of stochastic - and more generally mini-batch - extensions of (particular first order) local optimization algorithms in order to accelerate the minimization of cost functions that consist of $P$ terms of the form \n",
    "\n",
    "\\begin{equation}\n",
    "g\\left(\\mathbf{w}\\right) = \\sum_{p=1}^P g_p\\left(\\mathbf{w}\\right)\n",
    "\\end{equation}\n",
    "\n",
    "\n",
    "where $g_1\\,g_2,\\,...,g_P$ are all functions of the same kind.  Looking backwards, in this Chapter as well as the two that proceeded it, absolutely *every cost function took this form*.  That is, every machine learning cost function for regression, two-class, and multi-class classification takes the general form above, and thus we can think about applying mini-batch optimization in tuning their parameters (this trend will continue as we move forward as well, e.g., when discussing the *autoencoder* in [Section 8.4](https://jermwatt.github.io/machine_learning_refined/notes/8_Linear_unsupervised_learning/8_4_Autoencoder.html)).  \n",
    "\n",
    "For example, the Multiclass Softmax cost introduced in [Section 7.3.5](https://jermwatt.github.io/machine_learning_refined/notes/7_Linear_multiclass_classification/7_3_Perceptron.html)\n",
    "\n",
    "\\begin{equation}\n",
    "g\\left(\\mathbf{w}_{0}^{\\,},\\,...,\\mathbf{w}_{C-1}^{\\,}\\right) = \\frac{1}{P}\\sum_{p = 1}^P \\left[\\text{log}\\left( \\sum_{c = 0}^{C-1}  e^{ \\mathring{\\mathbf{x}}_{p}^T \\overset{\\,}{\\mathbf{w}}_c^{\\,}}  \\right) - \\mathring{\\mathbf{x}}_{p}^T \\overset{\\,}{\\mathbf{w}}_{y_p}^{\\,}\\right].\n",
    "\\end{equation}\n",
    "\n",
    "takes this general form where\n",
    "\n",
    "\\begin{equation}\n",
    "g_p\\left(\\mathbf{w}_{0}^{\\,},\\,...,\\mathbf{w}_{C-1}^{\\,}\\right) =\\text{log}\\left( \\sum_{c = 0}^{C-1}  e^{ \\mathring{\\mathbf{x}}_{p}^T \\overset{\\,}{\\mathbf{w}}_c^{\\,}}  \\right) - \\mathring{\\mathbf{x}}_{p}^T \\overset{\\,}{\\mathbf{w}}_{y_p}^{\\,}.\n",
    "\\end{equation}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5LvncHfLcxCi"
   },
   "source": [
    "In other words, *machine learning cost functions de-compose over their training data* where the summand $g_p$ measures the error of the cost on the $p^{th}$ training point.  As detailed in Section 3.11, the heart of the mini-batch idea is to minimize such a cost *sequentially* over small mini-batches of these summands, one mini-batch of summands at a time, as opposed to the standard local optimization step where minimize in the entire set of summands at once.  Now, since machine learning cost summands are inherently tied to training datapoints, in the context of machine learning we can think about mini-batch optimization *equivalently in terms of mini-batches of training data* as well.  Thus as opposed to a standard (also called full batch) local optimization technique that takes individual steps by sweeping through an *entire* set of training data *simultaneously*, the mini-batch approach has us take smaller steps sweeping through training data *sequentially* (with one complete sweep through the data being referred to as an *epoch* of mini-batch learning).  This machine learning / data driven interpretation is illustrated schematically in the Figure below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "hp-OvPbjcxCi",
    "outputId": "889dee4e-a237-4c79-e185-ae441c976bf3"
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(image_path_1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bgf4jUL6cxCj"
   },
   "source": [
    "<figure>\n",
    "<figcaption> <strong>Figure 1:</strong> <em> Schematic comparison of first iteration of (top panel) full batch and (bottom) stochastic gradient descent, through the lens of machine learning using (for the sake of simplicity) a small dataset of points.  In the full batch sweep we take a step in all points *simultaneously*, whereas (bottom panel) in the mini-batch approach we sweep through these points *sequentially*.  </em>\n",
    "</figcaption>\n",
    "</figure>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-1_bnISGcxCj"
   },
   "source": [
    "As with generic cost functions, mini-batch learning often greatly accelerates the minimization of machine learning cost functions (and thus the corresponding learning taking place).  This is particularly true when dealing with *very large datasets*, i.e., when $P$ is large.    With very large datasets the mini-batch approach can also help limit the amount of active memory consumed in storing data by loading in - at each step in a mini-batch epoch - *only the data included in the current mini-batch*.  The mini-batch approach can also be used (or interpreted) as a so-called *online learning* technique, wherein data actually *arises* in small mini-batches and is directly used to update the parameters of the associated model.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kLlul9gbcxCj"
   },
   "source": [
    "#### <span style=\"color:#a50e3e;\">Example 1. </span>  Comparing standard to minibatch gradient descent "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OMb2W9-fcxCk"
   },
   "source": [
    "Recognizing handwritten digits is a popular multiclass classification problem commonly built into the software of mobile banking applications, as well as more traditional Automated Teller Machines, to give users e.g., the ability to automatically deposit paper checks. Here each class of data consists of (images of) several handwritten version of a single digit in the range $0-9$, giving a total of $10$ classes.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "BgOdYKF0cxCk",
    "outputId": "10003d3b-de90-455a-c462-618cf563a16a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(image_path_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xvoaUUuAcxCk"
   },
   "source": [
    "<figure>\n",
    "<figcaption> <strong>Figure 2:</strong> <em> An illustration of various handwritten digits in a feature space. Handwritten digit recognition is a common multiclass classification problem. The goal here is to determine regions in the feature space where current (and future) instances of each type of handwritten digit are present.</em>\n",
    "</figcaption>\n",
    "</figure>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "id": "aad0yOqUcxCk"
   },
   "source": [
    "In the figure below we illustrate the acclerated convergence of mini-batch gradient descent over the standard method using $P = 50,000$ random training points from the MNIST dataset, a popoular collection of handwritten images like those described above, and the Multiclass Softmax cost.  In particular we show a comparison of the first $10$ steps / epochs of both methods, using a batch of size $200$ for the mini-batch size and the same steplength for both runs, where we see that the mini-batch run drastically accelerates minimization in terms of both the cost function (left panel) and number of misclassifications (right panel). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "Wz7JbGL4cxCk"
   },
   "outputs": [],
   "source": [
    "# load data\n",
    "import pickle\n",
    "with open(dataset_path_1, \"rb\") as input_file:\n",
    "    data = pickle.load(input_file)\n",
    "    \n",
    "x = data[0]\n",
    "y = data[1] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "AE1JU8WUcxCl",
    "outputId": "4742566c-df54-4422-9c72-b04023203f49"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import the v1 library\n",
    "mylib0 = section_7_8_helpers.Setup(x, y)\n",
    "\n",
    "# choose features\n",
    "layer_sizes = [784,10]\n",
    "\n",
    "# choose features\n",
    "mylib0.choose_features(name = 'multilayer_perceptron',layer_sizes = layer_sizes,activation = 'linear')\n",
    "\n",
    "# choose normalizer\n",
    "mylib0.choose_normalizer(name = 'standard')\n",
    "\n",
    "# choose cost\n",
    "mylib0.choose_cost(name = 'multiclass_softmax')\n",
    "\n",
    "# fit an optimization\n",
    "alpha = 10**(-1)\n",
    "mylib0.fit(max_its = 10,alpha_choice = alpha)\n",
    "mylib0.fit(max_its = 10,alpha_choice = alpha,batch_size = 200,w_init = mylib0.w_init)\n",
    "\n",
    "# show histories\n",
    "labels = ['standard','minibatch']\n",
    "mylib0.show_histories(labels = labels)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "include_colab_link": true,
   "provenance": []
  },
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.15"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "navigate_num": "#000000",
    "navigate_text": "#333333",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700",
    "sidebar_border": "#EEEEEE",
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   "moveMenuLeft": true,
   "nav_menu": {
    "height": "86px",
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   "toc_section_display": "block",
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 },
 "nbformat": 4,
 "nbformat_minor": 1
}
